OnePlus OPD2403
Geekbench AI Score
2132
Single Precision Score
3187
Half Precision Score
2469
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 12:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2403 |
| Model ID | OnePlus OPD2403 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1232
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (Q)
|
100% |
1528
284.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4376
70.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3270
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10314
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
18931
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18733
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1273
100.9 IPS |
|
|
Object Detection (HP)
|
99% |
1755
139.2 IPS |
|
|
Object Detection (Q)
|
87% |
1646
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
7483
88.9 IPS |
|
|
Face Detection (Q)
|
97% |
6060
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5381
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7948
61.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
6012
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13313
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28470
36.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28444
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2839
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4557
168.9 IPS |
|
|
Text Classification (SP)
|
35% |
48
467.0 IPS |
|
|
Text Classification (HP)
|
35% |
64
584.2 IPS |
|
|
Text Classification (Q)
|
33% |
48
577.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
97% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
43% |
242
13.8 IPS |
